The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
Abstract: Serving as a fundamental task in robotic navigation and autonomous driving, occupancy prediction is gaining increasing attention for its fine-grained perception of the 3D environment. Most ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Quantifying natural behavior from video recordings is a key component in ethological studies. Markerless pose estimation methods have provided an important step toward that goal by automatically ...
Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
Elon Musk’s AI startup xAI laid off 500 team members on Friday night, according to internal messages viewed by Business Insider. These emails reportedly announce an immediate “strategic pivot,” with ...
Abstract: Scribble-based weakly supervised segmentation methods have shown promising results in medical image segmentation, significantly reducing annotation costs. However, existing approaches often ...
Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...
Last week The Washington Post announced a new system, called “From the Source,” that will let sources annotate stories they appear in after the stories are published. Readers will see the annotations ...
The annotate-cell-types-by-top-correlation section of the Guide to spatial registration vignette is very simple and sparse. This section could use some additional details about how the annotation ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
Is your feature request related to a problem? Please describe. When annotating in 3D, some sparse point clouds can be difficult to see clearly. It would be very helpful to have a control that allows ...
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